Machine Intelligence 13

Machine Intelligence and Inductive Learning

By: K. Furukawa (Editor), D. Michie (Editor), S. Muggleton (Editor)

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Hardcover | 1 April 1997

At a Glance

Hardcover
492 Pages

Dimensions(cm)
22.86 x 15.24 x 3.18

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$274.95

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Machine Intelligence 13 ushers in an exciting new phase of artificial intelligence research, one in which machine learning has emerged as a hot-bed of new theory, as a practical tool in engineering disciplines, and as a source of material for cognitive models of the human brain. Based on the Machine Intelligence Workshop of 1992, held at Strathclyde University in Scotland, the book brings together numerous papers from some of the field's leading researchers to discuss current theoretical and practical issues. Highlights include a chapter by J.A. Robinson--the founder of modern computational logic--on the field's great forefathers John von Neumann and Alan Turing, and a chapter by Stephen Muggleton that analyzes Turing's legacy in logic and machine learning. This thirteenth volume in the renowned Machine Intelligence series remains the best source of information for the latest developments in the field. All students and researchers in artificial intelligence and machine learning
will want to own a copy.

Industry Reviews

the current volume maintains the high standards set by its predecessors... authored by distinguished researchers... * Endeavour *

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